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Datasets/ScanNetV2

ScanNetV2

Benchmarks

10-shot image generation/Mean IoU 10-shot image generation/Pixel Accuracy 10-shot image generation/Mean IoU (test)10-shot image generation/Mean IoU (val)10-shot image generation/PQ 10-shot image generation/RQ 10-shot image generation/SQ 10-shot image generation/Params (M)10-shot image generation/mIoU 16k/mAP@0.5 16k/mAP@0.25 2D Classification/mAP@0.5 2D Classification/mAP@0.25 2D Object Detection/mAP@0.5 2D Object Detection/mAP@0.25 2D Panoptic Segmentation/PQ 3D/mAP@0.5 3D/mAP@0.25 3D/absolute relative error 3D/Delta < 1.25 3D Instance Segmentation/NoC@80 3D Object Detection/mAP@0.5 3D Object Detection/mAP@0.25 3D Semantic Segmentation/mIoU Depth Estimation/absolute relative error Depth Estimation/Delta < 1.25 Instance Segmentation/NoC@80 Instance Segmentation/mAP@0.50 Interactive 3D Instance Segmentation/NoC@80 Object Detection/mAP@0.5 Object Detection/mAP@0.25 Panoptic Segmentation/PQ Panoptic Segmentation/RQ Panoptic Segmentation/SQ Panoptic Segmentation/Params (M)Semantic Segmentation/Mean IoU Semantic Segmentation/Pixel Accuracy Semantic Segmentation/Mean IoU (test)Semantic Segmentation/Mean IoU (val)Semantic Segmentation/PQ Semantic Segmentation/RQ Semantic Segmentation/SQ Semantic Segmentation/Params (M)Semantic Segmentation/mIoU Surface Normals Estimation/% < 11.25 Surface Normals Estimation/% < 22.5 Surface Normals Estimation/% < 30 Surface Normals Estimation/Mean Angle Error

Statistics

Papers: 0
Benchmarks: 48

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Tasks

10-shot image generation 16k 2D Classification 2D Object Detection 2D Panoptic Segmentation 3D 3D Instance Segmentation 3D Object Detection 3D Semantic Segmentation Depth Estimation Instance Segmentation Interactive 3D Instance Segmentation Object Detection Panoptic Segmentation Semantic Segmentation Surface Normals Estimation